2025-07-24 –, Main Room 3
In this lightning talk, I’ll share recent work on embedding physical constraints into graph neural networks using Lux and Reactant. I’ll discuss approaches for modeling systems governed by differential equations and structured meshes, and highlight how compiler-level optimizations in these frameworks accelerate training and improve efficiency.
In this lightning talk, I’ll share recent work on embedding physical constraints into graph neural networks using Lux and Reactant. I’ll discuss approaches for modeling systems governed by differential equations and structured meshes, and highlight how compiler-level optimizations in these frameworks accelerate training and improve efficiency.
